Search API purpose-built for LLMs and AI agents, returning clean, cited, RAG-ready results from a single call instead of raw SERPs.

Overview

Tavily is a search API designed from the ground up for LLMs and autonomous agents rather than human browsers. Where a traditional search API returns ten blue links and leaves the scraping to you, Tavily performs the search, reads multiple sources, and returns concise, citation-backed content that is ready to drop straight into a retrieval-augmented generation (RAG) pipeline. A single endpoint call can return both a short answer and the extracted source snippets, with developers controlling search depth, domain whitelisting, and whether an LLM-generated summary is included. Beyond the core Search API, Tavily offers Extract (scrape up to 20 URLs per call), Map (discover a domain’s structure), Crawl (combine the two at scale), and a Research endpoint that orchestrates multi-step web investigation. It integrates in a few lines with Python, Node.js, LangChain, and LlamaIndex, and is SOC 2 certified with a zero-data-retention default that matters for enterprise compliance. The product is explicitly built for the agent era: LangChain ships a first-party integration, and community projects like GPT Researcher are powered by it. For any team building a chatbot, copilot, or research agent that needs trustworthy real-time web data without maintaining a fragile scrape-and-parse stack, Tavily removes a major source of hallucination and engineering toil.

Key Features

  • LLM-optimized Search API returning cited, RAG-ready results in one call
  • Extract, Map, Crawl, and Research endpoints beyond basic search
  • Adjustable search depth, domain targeting, and optional AI summary
  • Native SDKs for Python, Node.js, LangChain, and LlamaIndex
  • SOC 2 certified, zero data retention by default
  • Free 1,000 credits/month, no credit card required

Pricing

PlanPriceFor
Free$0 (1,000 credits/mo)New creators, testing the API
Pay As You Go$0.008/creditFlexible usage, pay only for what you use
Project$30/mo (4,000 credits)Enthusiasts, higher rate limits
EnterpriseCustomCorporations, SLAs and custom limits

Comparison

Compared to Exa, Tavily and Exa both target AI-native search, but Tavily emphasizes clean extraction and RAG-ready snippets with a generous free tier, while Exa leans into neural/semantic retrieval ranking. Against Perplexity, Tavily is a backend API with no consumer chat UI—Perplexity is the product you use, Tavily is the engine you build on. Next to Firecrawl, both scrape the web for agents, yet Tavily bundles search, extraction, and research in one billing model whereas Firecrawl focuses on structured markdown scraping and crawling.

Compare alternatives

Side-by-side with the 3 closest alternatives.

ToolCategoryPricingVisit
Tavily (this) search, agentsFree $0 (1,000 credits/mo) · From $0.008/mo Site ↗
ExasearchFree $0 Site ↗
PerplexitysearchFree $0 · From $20/mo Site ↗
Firecrawlcode, search, agentsFree $0 (500 one-time credits) · From $16/mo Site ↗
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Search API purpose-built for LLMs and AI agents, returning clean, cited, RAG-ready results from a single call instead of raw SERPs.

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Editor’s Review
4.6/5
Pros
  • +Returns structured, cited answers optimized for RAG, not raw SERPs
  • +Generous free tier (1,000 credits/mo) and simple pay-as-you-go
  • +SOC 2 certified with zero data retention by default
Cons
  • Credit-based pricing can be opaque for heavy crawls
  • No consumer search UI—it is a developer API
  • Advanced research calls can cost 15–250 credits each

Tavily is the default web-search layer for a huge share of open-source agent projects, and for good reason: it hands agents clean, sourced context instead of noisy HTML. The only friction is a credit model that gets expensive once you lean on deep research or bulk crawling.

See all reviews →

Last updated: 2026-08-04

When to use it

  • Use it when you need returns structured, cited answers optimized for RAG, not raw SERPs
  • Use it when you need generous free tier (1,000 credits/mo) and simple pay-as-you-go
  • Use it when you need sOC 2 certified with zero data retention by default

When to skip it

  • Avoid it if credit-based pricing can be opaque for heavy crawls
  • Avoid it if no consumer search UI—it is a developer API
  • Avoid it if advanced research calls can cost 15–250 credits each

Alternatives to consider